West Africa Center of Excellence for Data Science Research Education

西非数据科学研究教育卓越中心

• 批准号: 10713853
• 负责人: SEYDOU DOUMBIA
• 金额: $ 20万
• 依托单位: UNIV OF SCIENCES, TECH & TECH OF BAMAKO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10713853
• 关键词: Address; Affect; Africa; Africa South of the Sahara; African; Area; Big Data; Bioinformatics; Biomedical Research; Cardiovascular Diseases; Clinical; Clinical Research; Collaborations; Communicable Diseases; Complex; Country; Data; Data Analyses; Data Engineering; Data Science; Data Set; Data Sources; Development; Diabetes Mellitus; Diagnosis; Disease; Disease Outcome; Doctor of Philosophy; Educational Curriculum; Emerging Communicable Diseases; Faculty; Fogarty International Center; Goals; Guinea; HIV/AIDS; HIV/TB; Health Professional; Human Resources; Infrastructure; Institution; Interdisciplinary Study; Intervention; Knowledge; Life; Machine Learning; Malaria; Mali; Malignant Neoplasms; Master of Science; Medical; National Institute of Allergy and Infectious Disease; Parasitic Diseases; Participant; Positioning Attribute; Public Health; Public Health Education; Research; Research Ethics; Research Personnel; Research Project Grants; Research Training; Resources; Science; Scientist; Sickle Cell Anemia; Training; Training Programs; Tuberculosis; United States National Institutes of Health; Universities; Work; complex data; course sequence; disorder control; education research; experience; faculty research; future implementation; hackathon; infectious disease model; innovation; interest; international center; international partnership; learning materials; neglected tropical diseases; neurogenetics; next generation; programs; public health research; rapid growth; response; skills; spatial epidemiology; technology/technique

Project Summary/Abstract Sub-Saharan African countries are severely affected by the world’s most devastating infectious diseases, including malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and is experiencing an unprecedented increase in noncommunicable diseases, including cancer, cardiovascular diseases, and diabetes. In the past decades, public health, biomedical and clinical research have also increase significantly with support from the National Institutes of Health (NIH) and other partnership. This partnership has contributed a breadth of diverse, large, and complex clinical and biomedical data sets, providing unique opportunities for applying data sciences for discoveries that may catalyze innovation in diagnosis, and therapy of diseases of public health interest in the region. However, a critical gap is that these data remain under-exploited due to limited human resources with skills and expertise in data sciences to harness the value of these data to have a meaningful public health impact. The overall objective of this UE5 Research Education Program involving the University of Sciences, Techniques and Technology of Bamako (USTTB) and Gamal Abdel Nasser University of Conakry, Guinea (UGANC) with support from Tulane University is to build interdisciplinary teams across multiple African institutions capable of using innovative quantitative and analytical approaches to generate and apply new knowledge from large or complex sets of data in the subregion through the following specific aims: 1) Strengthen existing institutional research training programs to address the needs for optimal use and processing of large and complex data sets using advanced data science approaches. We will provide faculty enhancement training and develop advanced data sciences courses for enriching curricula of existing Masters and PhD programs and professional development short-term training (medical residents, public health, clinicians and junior researchers); 2) Develop and deliver datathon (i.e., data analysis hackathon) training that involves multidisciplinary collaboration among researchers, data engineers, machine-learning experts, statisticians, and other information scientists. Datathon participants will perform team-oriented approaches in response to research questions of interest in the area of infectious disease outcomes (e.g., malaria, NTDs, TB/HIV, or emerging infectious diseases) and develop solutions in group settings; and 3) Produce a critical mass of trained public health professionals, disease control managers, and researchers capable of working closely together to use data sciences to refine and guide control interventions most effectively through short courses sequence focused on hands-on advanced data science. Developped short-term training sessions and modules through a multifaceted approach to facilitate partnership among researchers and local faculty and stakeholders for future implementation of data sciences research.

项目总结/摘要 撒哈拉以南非洲国家受到世界上最具破坏性的传染病的严重影响， 包括疟疾、艾滋病毒/艾滋病、结核病、被忽视的热带疾病，并正在经历前所未有的 非传染性疾病的增加，包括癌症、心血管疾病和糖尿病。过去 几十年来，公共卫生、生物医学和临床研究也在国际药物管制署的支持下显著增加。 美国国立卫生研究院（NIH）和其他合作伙伴。这一伙伴关系促进了广泛的多样化， 大型复杂的临床和生物医学数据集，为应用数据科学提供了独特的机会 对于可能促进诊断创新的发现，以及对公共卫生感兴趣的疾病的治疗， 地区然而，一个关键的差距是，由于人力资源有限， 数据科学的技能和专业知识，以利用这些数据的价值，产生有意义的公共卫生影响。 涉及科学大学的UE 5研究教育计划的总体目标， 巴马科技术和工艺学院（USTB）和几内亚科纳克里Gamal Abdel Nasser大学 （UGANC）在杜兰大学的支持下， 机构能够使用创新的定量和分析方法，以产生和应用新的 通过以下具体目标，从次区域的大型或复杂数据集中获取知识： 加强现有的机构研究培训方案，以满足最佳利用的需要， 使用先进的数据科学方法处理大型复杂数据集。我们将提供教师 加强培训，开发先进的数据科学课程，以丰富现有硕士课程 和博士课程和专业发展短期培训（医疗居民，公共卫生，临床医生 和初级研究人员）; 2）开发和交付数据库（即，数据分析黑客）培训， 涉及研究人员，数据工程师，机器学习专家， 统计学家和其他信息科学家。数据中心的参与者将在以下方面执行面向团队的方法： 对传染病结果领域感兴趣的研究问题的回应（例如，疟疾，NTD， 结核病/艾滋病毒，或新出现的传染病），并在群体环境中制定解决方案;以及3）制定一个关键的 大量训练有素的公共卫生专业人员、疾病控制管理人员和研究人员能够 密切合作，利用数据科学最有效地完善和指导控制干预措施 通过短期课程序列专注于实践先进的数据科学。开展短期培训 通过多方面的方法，促进研究人员和地方政府之间的伙伴关系， 教师和利益相关者为未来实施数据科学研究。